Jian Yang

4.8k total citations · 1 hit paper
260 papers, 3.4k citations indexed

About

Jian Yang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Jian Yang has authored 260 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 154 papers in Computer Vision and Pattern Recognition, 102 papers in Radiology, Nuclear Medicine and Imaging and 60 papers in Biomedical Engineering. Recurrent topics in Jian Yang's work include Medical Image Segmentation Techniques (77 papers), Retinal Imaging and Analysis (35 papers) and Robotics and Sensor-Based Localization (27 papers). Jian Yang is often cited by papers focused on Medical Image Segmentation Techniques (77 papers), Retinal Imaging and Analysis (35 papers) and Robotics and Sensor-Based Localization (27 papers). Jian Yang collaborates with scholars based in China, United States and United Kingdom. Jian Yang's co-authors include Yongtian Wang, Danni Ai, Hong Song, Jingfan Fan, Yang Chen, Yong Huang, Huazhong Shu, EX Wu, Songyuan Tang and Jin Liu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Jian Yang

230 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cross-level Feature Aggregation Network for Polyp Segmentation

2023 140 citations Tao Zhou, Yi Zhou et al. Pattern Recognition profile →

Peers

Jian Yang

CVPR

RNMI

BE

SURGE

AI

Franjo Pernuš Slovenia

Heinz Handels Germany

Mattias P. Heinrich‬ Germany

Heye Zhang China

Bernhard Kainz United Kingdom

Michiel Schaap Netherlands

Julia A. Schnabel United Kingdom

Ender Konukoğlu Switzerland

Michal Drozdzal Spain

Vicente Grau United Kingdom

Franjo Pernuš Slovenia

Jian Yang

1.3k ×0.9

CVPR

1.1k ×0.8

RNMI

1.3k ×1.4

BE

820 ×2.1

SURGE

188 ×0.5

AI

Citations per year, relative to Jian Yang Jian Yang (= 1×) peers Franjo Pernuš

Countries citing papers authored by Jian Yang

Since Specialization

Citations

This map shows the geographic impact of Jian Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jian Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Yang more than expected).

Fields of papers citing papers by Jian Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jian Yang. The network helps show where Jian Yang may publish in the future.

Co-authorship network of co-authors of Jian Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Yang. A scholar is included among the top collaborators of Jian Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jian Yang. Jian Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Yu, Hongwei, et al.. (2025). A self-supervised representation learning paradigm with global content perception and peritumoral context restoration for MRI breast tumor segmentation. Biomedical Signal Processing and Control. 107. 107757–107757. 1 indexed citations

2.

Liu, Xingyu, et al.. (2025). A viscoelastic soft tissue simulation method using implicit FEM and dynamic damping. 225–230.

3.

Song, Hong, et al.. (2024). MSLR: A Self-supervised Representation Learning Method for Tabular Data Based on Multi-scale Ladder Reconstruction. Information Sciences. 660. 120108–120108. 1 indexed citations

4.

Ai, Danni, Yuanyuan Wang, Hong Song, et al.. (2024). Spatio-Temporal correspondence attention network for vessel segmentation in X-ray coronary angiography. Biomedical Signal Processing and Control. 99. 106792–106792. 1 indexed citations

5.

Yang, Jian, et al.. (2024). A Novel Long Short‐Term Memory Learning Strategy for Object Tracking. International Journal of Intelligent Systems. 2024(1). 2 indexed citations

6.

Wang, Peijian, et al.. (2024). Risk factors and a predictive model for left ventricular hypertrophy in young adults with salt‐sensitive hypertension. Journal of Clinical Hypertension. 26(8). 933–944. 3 indexed citations

7.

Fu, Tianyu, Hong Song, Jingfan Fan, et al.. (2024). Embedding-Alignment Fusion-Based Graph Convolution Network With Mixed Learning Strategy for 4D Medical Image Reconstruction. IEEE Journal of Biomedical and Health Informatics. 28(5). 2916–2929. 1 indexed citations

8.

Wang, Yifan, Tianyu Fu, Jingfan Fan, et al.. (2024). Self-supervised local rotation-stable descriptors for 3D ultrasound registration using translation equivariant FCN. Pattern Recognition. 150. 110324–110324. 1 indexed citations

9.

Fan, Jingfan, Hong Song, Danni Ai, et al.. (2024). Affine Constrained Binocular Camera Calibration With Planar Target Single-Axis Translating. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 3 indexed citations

10.

Song, Hong, et al.. (2024). MixFuse: An iterative mix-attention transformer for multi-modal image fusion. Expert Systems with Applications. 261. 125427–125427. 2 indexed citations

11.

Song, Hong, et al.. (2024). Semi-supervised segmentation of orbit in CT images with paired copy-paste strategy. Computers in Biology and Medicine. 171. 108176–108176. 2 indexed citations

12.

Zhou, Tao, Yi Zhou, Kelei He, et al.. (2023). Cross-level Feature Aggregation Network for Polyp Segmentation. Pattern Recognition. 140. 109555–109555. 140 indexed citations breakdown →

13.

Li, Cheng, et al.. (2023). Identification of chrysanthemum using hyperspectral imaging based on few-shot class incremental learning. Computers and Electronics in Agriculture. 215. 108371–108371. 18 indexed citations

14.

Song, Hong, et al.. (2023). A joint learning method for incomplete and imbalanced data in electronic health record based on generative adversarial networks. Computers in Biology and Medicine. 168. 107687–107687. 7 indexed citations

15.

Liu, Siqi, Fan Zhang, Tingyu Zhang, et al.. (2023). Response inhibition in children with different subtypes/presentations of attention deficit hyperactivity disorder: A near-infrared spectroscopy study. Frontiers in Neuroscience. 17. 1119289–1119289. 7 indexed citations

16.

Wang, Yiming, et al.. (2023). Enhancing visual security: An image encryption scheme based on parallel compressive sensing and edge detection embedding. Chinese Physics B. 33(1). 10502–10502. 4 indexed citations

17.

Xiao, Deqiang, Danni Ai, Jingfan Fan, et al.. (2023). A multi-dimensional CFD framework for fast patient-specific fractional flow reserve prediction. Computers in Biology and Medicine. 168. 107718–107718. 6 indexed citations

18.

Coatrieux, Jean-Louis, Qianlong Zhao, Jin Liu, et al.. (2019). Domain Progressive 3D Residual Convolution Network to Improve Low-Dose CT Imaging. IEEE Transactions on Medical Imaging. 38(12). 2903–2913. 172 indexed citations

19.

Ai, Danni, et al.. (2019). Deep feature regression (DFR) for 3D vessel segmentation. Physics in Medicine and Biology. 64(11). 115006–115006. 6 indexed citations

20.

Yang, Jian, et al.. (2013). Fast and Automatic Ultrasound Simulation from CT Images. Computational and Mathematical Methods in Medicine. 2013. 1–13. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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